AI Infrastructure · PyPI

llm-autotune

39% faster TTFT, 67% less KV cache, zero config — autotune optimises local LLMs on Ollama, LM Studio, and MLX

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Details

Author
Tanav Chinthapatla
GitHub profile
@tanavc1
Category
AI Infrastructure
Platform
PyPI
GitHub
https://github.com/tanavc1/local-llm-autotune
Framework
openai
Language
python
Stars
0
First indexed
2026-05-15
Last active
—
Directory sync
2026-05-15
@tanavc1

Overview

39% faster TTFT, 67% less KV cache, zero config — autotune optimises local LLMs on Ollama, LM Studio, and MLX

Quick start

pip

pip install llm-autotune

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What llm-autotune can do

llmaiopenailocal-ailocal-llm
  • Llm — llm task automation.
  • Ai — ai task automation.
  • Openai — openai task automation.
  • Local Ai — local-ai task automation.
  • Local Llm — local-llm task automation.

Frequently asked questions

What is llm-autotune?
39% faster TTFT, 67% less KV cache, zero config — autotune optimises local LLMs on Ollama, LM Studio, and MLX
How do I install llm-autotune?
Use pip: `pip install llm-autotune`. Full setup details on the source page linked above.
Is llm-autotune open source?
llm-autotune is published on PyPI.
What are alternatives to llm-autotune?
Comparable agents include awesome, openclaw, AutoGPT. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for llm-autotune is sourced from PyPI, published by Tanav Chinthapatla.

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